Math 313: Probability and Statistics
| Instructor: |
Neil Martinsen-Burrell
SC 363
319-352-8420
nmb@wartburg.edu
|
| Text: |
Wackerly, Mendenhall, Scheaffer, Mathematical
Statistics with Applications, Seventh Edition. |
| Class Meets: |
SC 345, MWF 2:30-3:35 |
| Office hours: |
MWF 11-12 |
| Syllabus |
Schedule
| Monday | Wednesday | Friday |
|
Intro 1.1, 1.2 |
1.3-1.5 |
2.1-2.4 HW 1 |
2.5, 2.6 |
2.7, 2.8 |
2.9 HW 2 |
2.10, 2.11 |
|
3.1,3.2 HW 3 |
3.3 |
Group Presentations |
3.9 HW 4 |
4.2 |
4.3 |
Group Presentations HW 5 |
3.11, 4.9 |
Exam Review |
7.1,7.2 HW 6 |
7.2 |
7.3 Exam 1 |
| Project Discussion |
7.4 |
FALL BREAK!! |
| 7.5 |
8.2 |
8.3, 8.4 |
8.5 HW 7 |
8.6 |
8.7, 8.8 |
8.9 HW 8 |
10.2 |
10.3 |
10.5 HW 9 |
10.6 |
THANKSGIVING!! |
| 10.8 |
10.9 |
11.2 |
11.3 HW 10 |
13.3 |
Final Presentations |
Project 1
We will shortly be studying a probability concept called random variables.
There are many flavors of random variables, and me talking about them
one-by-one in class is incredibly boring. So, you will be talking about
them in class. We will divide the class up into 5 groups and each group
will be responsible for teaching the rest of the class one the sections
3.4-3.8.
On Friday, October 2, each group will have 10 minutes to present the
contents of the section. This should include what your type of random
variable is and what it is useful for. You should also include a worked
example from the section. In addition to your in-class presentation, you
should also submit two (2) problems from the end of your section to include
on HW 4. You should have chosen your two problems and let me know by
Thursday, October 1.
Final Project
You will study in pairs a particular item of statistical interest that we
have not covered in this course. You will write a report on what you find,
including your sources and any significant results as well as give a 5
minute group presentation about your topic in class. Reports will be due
Wednesday, December 16 by 1:30 pm and presentations will be in class on
December 11.
Here are some ideas for possible projects:
- Statistical Graphics
- There has been a lot written about the display of statistical
information by people such as Edward Tufte and Darrell Huff
- Two-way ANOVA
- We will not talk about it in class, but there is an ANOVA for
comparing two different sets of criteria.
- Non-parametric Statistics
- Our statistical tests require that things have specified
distributions, usually normal. What does one do if that isn't the
case?
- Statistics in Sports
- Statistics and sports have a long association. Interesting topics
include predicting winners and analyzing past performance data.
- U.S. Census
- The U.S. Census is a tremendous statistical undertaking. What is it
and what are some of the techniques that they use?
- Polling
- As we enter another election cycle, people pay lots of attention to
who is where in the polls. How are polls done and how are they
interpreted?
- Random Number Generation
- How do people draw random numbers from a specified distribution?
- Random Walks
- What is a random walk and why do we care?
- Markov Chains
- What is a Markov chain and why do we care?
- Monte Carlo Simulation
- Clever gambling or just a way to compute complicated integrals?
- Bayesian Statistics
- Bayes Rule can be applied to estimate quantities. What is a prior? A
posterior? Who cares?
- Multivariate Statistics
- What is covariance? Multivariate normal distribution? Other
multivariate distributions? Linear Algebra?
- Chaos and Predictability
- While not strictly statistical, chaos leads to questions of randomness
and estimating error.
Homework assignments
- HW 1 (Due 9/14)
- pp. 6-7: 1.4, 1.6
- pp. 11-12: 1.7, 1.8, 1.9, 1.10, 1.17, 1.18
- HW 2 (Due 9/21)
- p. 32-35: 2.9, 2.10, 2.16, 2.21
- pp. 39-40: 2.30
- pp. 47-49: 2.41, 2.43, 2.50, 2.54, 2.63
- pp. 55-56: 2.72, 2.75, 2.78
- HW 3 (Due 9/28)
- pp. 59-61: 2.90, 2.93, 2.97, 2.103
- pp. 68-69: 2.110, 2.116, 2.117
- pp. 73-74: 2.124, 2.125, 2.132, 2.138
- pp. 80: 2.146, 2.153
- HW 4 (Due 10/7)
- pp. 90-91: 3.4, 3.11
- pp. 98-100: 3.14, 3.15, 3.33
- pp. 110-113: 3.41, 3.43
- pp. 119-120: 3.67, 3.81
- p. 124: 3.93, 3.97
- p. 130: 3.109, 3.113
- p. 137: 3.122, 3.125
- HW 5 (Due 10/21)
- p. 142: 3.145, 3.146, 3.151
- pp. 166-168: 4.3, 4.14, 4.15
- pp. 172-174: 4.24, 4.30, 4.37
- pp. 177-178: 4.49, 4.51
- pp. 182-183: 4.59, 4.71
- pp. 190-193: 4.91, 4.93, 4.110, 4.111
- pp. 198-199: 4.127, 4.129
- HW 6 (Due 11/11)
- pp. 365-366: 7.13, 7.14, 7.21
- pp. 374-375: 7.42, 7.43, 7.52
- p. 384: 7.73, 7.74
- pp. 394-396: 8.1, 8.4, 8.12, 8.17
- p. 405: 8.32
- HW 7 (Due 11/25)
- p. 409: 8.40
- pp. 417-419: 8.56, 8.60, 8.63, 8.64
- pp. 431-434: 8.82, 8.90, 8.94
- p. 436: 8.95, 8.97, 8.99, 8.100
- p. 495: 10.6
- pp. 504-507: 10.18, 10.20, 10.23, 10.25, 10.33
- p. 512: 10.45, 10.46